* some nits

* update test

* add support d\sd[a

* remove some dummy inputs

* all good

* style

* nits

* fixes

* fix more copies

* nits

* styling

* fix

* Update src/transformers/models/mistral/modeling_mistral.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add a slow test just to be sure

* fixup

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* [Whisper] Use torch for stft if available

* update docstring

* mock patch decorator

* fit on one line

* updated bitsandbytes.py

* rm test_raise_* from test_4bit.py

* add test_4bit_serialization.py

* modeling_utils bulk edits

* bnb_ver 0.41.3 in integrations/bitsandbytes.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* @slow reinstated

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* bnb ver 0.41.3 in  src/transformers/modeling_utils.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* rm bnb version todo in  integrations/bitsandbytes.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* moved 4b serialization tests to test_4bit

* tests upd for opt

* to torch_device

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* ruff fixes to tests

* rm redundant bnb version check in mod_utils

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* restore _hf_peft_config_loaded  modeling_utils.py::2188

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* restore _hf_peft_config_loaded  test in modeling_utils.py::2199

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* fixed NOT getattr(self, "is_8bit_serializable")

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* setting model.is_4bit_serializable

* rm separate fp16_statistics arg from set_module...

* rm else branch in integrations::bnb::set_module

* bnb 4bit dtype check

* upd comment on 4bit weights

* upd tests for FP4 safe

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

disable retain_grad_hidden_states_attentions on SeamlessM4TModelWithTextInputTest

* Fix yolos resizing

* Update tests

* Add a test

Co-authored-by: Merve Noyan <merveenoyan@gmail.com>

* fsdp, debugging, gpu selection

* fix hfoption

* fix

* Iteratre over out_features instead of stage_names

* Update for all backbones

* Add tests

* Fix

* Align timm backbone behaviour with other backbones

* Fix tests

* Stricter checks on set out_features and out_indices

* Revert back stage selection logic

* Remove out-of-order logic

* Document restriction in docstrings

* Update FA2 exception msg to point to hub discussions

* Use path for hub url

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* move code to Trainer.evaluate to enable use of that function with multiple datasets

* test

* update doc string

* and a tip

* forgot the type

---------

Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>

* add attention_bias hparam for a model trained without attention biases

* fix argument documentation error

* fix fa2

* fix FA2 for popular models

* improve warning and add Younes as co-author

Co-Authored-By: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/modeling_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix the warning

* Add Tip

* typo fix

* nit

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

Signed-off-by: Abolfazl Shahbazi <abolfazl.shahbazi@intel.com>

Fix mistral link in mixtral.md

In docstring for PreTrainedModel.resize_token_embeddings, correct definition of new_num_tokens parameter to read "the new number of tokens" (meaning the new size of the vocab) rather than "the number of new tokens" (number of newly added tokens only).

* default config should not use sliding window

* update the doc

* nits

* add a proper test

* update

* update

* update expected value

* Update src/transformers/tokenization_utils_fast.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* convert to float

* average then N**2

* comment

* revert nit

* good to fo

* fixup

* Update tests/models/mixtral/test_modeling_mixtral.py

Co-authored-by: Lysandre Debut <hi@lysand.re>

* revert unrelated change

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* speculative decoding

* fix test

* space

* better comments

* remove redundant test

* test nit

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* PR comments

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* When save a model, make a copy to be moved to CPU, dont move the original
model

* make deepcopy inside of _save_tpu

* Move to tpu without copy

Fix token link

* doc fix friday

* deprecated objects

* update not_doctested

* update toctree

Update semantic_segmentation.md

* More build_in_name_scope()

* Make sure we set the save spec now we don't do it with dummies anymore

* make fixup

remove warning if DISABLE_TELEMETRY is used

* Disable jitter noise during evaluation

* Update outdated configuration information

* Formatting

* Add new line

to reduce the storage size and also save the time of checkpoint saving while using deepspeed for training

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

Update mixtral.md

correct minor typo in overview

add SDPA into llava

* edits to _prepare_4d_causal_attention_mask()

* initial tests for 4d mask

* attention_mask_for_sdpa support

* added test for inner model hidden

* added autotest decorators

* test mask dtype to torch.int64

* torch.testing.assert_close

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* torch_device and @torch_gpu in tests

* upd tests

* +torch decorators

* torch decorators fixed

* more decorators!

* even more decorators

* fewer decorators

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix resuming from ckpt when suing FSDP with FULL_STATE_DICT

* update tests

* fix tests

* mps docs

* toctree

* first draft

* add to toctree

* edits

* feedback

* Update vipllava.md

* Update modeling_vipllava.py